Studies consistently show that around 85–90% of retail traders in India lose money. Yet many of these traders are intelligent, research-driven people. They study charts, follow news, and pick the right stocks — but they still lose.
The single biggest reason? They enter trades without calculating risk-reward. They know where to buy. They have no idea how much they're risking, or how big the reward needs to be to make the trade worthwhile.
A trader with a 40% win rate can be highly profitable — if their risk-reward ratio is 1:3. A trader with a 70% win rate can still lose money — if their ratio is 1:0.5.
This guide will show you exactly how to calculate risk-reward ratio, why 1:2 is the absolute minimum, and how to use it to filter out bad trades before you even place an order.
The risk-reward ratio compares how much you stand to lose if the trade goes against you, versus how much you stand to gain if it goes in your favour. The formula is simple:
A ratio of 1:2 means you risk ₹1 to potentially make ₹2. A ratio of 1:3 means you risk ₹1 to potentially make ₹3. The higher the second number, the better the setup.
Let's walk through a real-world example. You're looking at a mid-cap stock that has just broken above a resistance level. Here are your trade levels:
In this trade, for every rupee you risk, you stand to gain two rupees. If you buy 100 shares, you risk ₹2,000 (100 × ₹20) to potentially make ₹4,000 (100 × ₹40).
You buy Nifty at 22,200. Stop loss at 22,050 (risk: 150 points). Target at 22,650 (reward: 450 points). That is a 1:3 ratio — an excellent setup. In one lot of Nifty (50 units), you risk ₹7,500 to potentially make ₹22,500.
Here is the insight that changes everything: with a 1:2 risk-reward ratio, you can be wrong more than half the time and still make money.
Say you take 10 trades, each with a 1:2 ratio, risking ₹1,000 per trade to make ₹2,000:
Now compare that to a 1:1 ratio (equal risk and reward) with the same 40% win rate:
Same trader, same entries, same win rate — but a completely different outcome purely because of the risk-reward ratio.
The table below shows the minimum win rate required to simply break even (not profit, just not lose) at different risk-reward ratios. A profitable trader needs to exceed this break-even win rate consistently.
| RR Ratio | Break-Even Win Rate | Example (10 trades, ₹1,000 risk) | Verdict |
|---|---|---|---|
| 1 : 1 | 50% | Need 5 wins out of 10 just to break even | Avoid |
| 1 : 2 | 33% | Win 4/10 → +₹2,000 profit even with 60% loss rate | Minimum |
| 1 : 3 | 25% | Win 3/10 → +₹2,000 with just 30% win rate | Recommended |
| 1 : 4 | 20% | Win 2/10 → break-even (₹0) with only 20% win rate | Excellent |
| 1 : 5 | 17% | Rare but powerful — common in trend-following | Outstanding |
Break-even win rate = 1 ÷ (1 + RR ratio). All figures are pre-brokerage and taxes.
With a disciplined 1:3 ratio strategy, you can afford to be wrong 75% of the time and still not lose money. In reality, a decent trader with good setups wins 40–50% of trades. At 1:3, a 40% win rate generates 40 × ₹3 = ₹120 in wins against 60 × ₹1 = ₹60 in losses — a 2x return on risk after 100 trades.
The biggest mistake beginners make is placing stop losses at round numbers or arbitrary percentages ("I'll exit if it falls 5%"). Your stop loss must be placed where your trade thesis is proven wrong — not just where you feel uncomfortable.
For a long (buy) trade, place your stop loss just below the most recent swing low or a key support level. If the price breaks below that support, your reason for buying is no longer valid.
The Average True Range (ATR) measures a stock's average daily volatility. Setting your stop loss at 1.5× to 2× ATR below entry ensures you're not stopped out by normal daily noise.
In index trading, use the previous day's low, the opening range low, or a clear consolidation structure as your stop loss. Nifty and BankNifty respect these levels reliably on intraday charts.
Do not move your stop loss further away from entry just because the trade is going against you. This is called "giving the trade more room" and is one of the most expensive habits in trading. If your stop is hit, your thesis was wrong — accept the loss and move on.
Your target should be at a level where price is likely to face resistance — not where you hope it will go. There are three reliable ways to identify targets:
The simplest approach: set your target just below the next significant resistance zone. If you're buying at ₹500 and the next resistance is at ₹545, a target of ₹540–542 is realistic. Avoid targeting levels that require breaking through multiple resistance zones.
In a trending market, Fibonacci extensions (1.272×, 1.618× of the prior swing) are widely used target levels. Many institutional traders use these levels, which makes them self-fulfilling to a degree. Common targets are 127.2% and 161.8% extension of the prior impulse move.
For breakout trades, the measured move target is the height of the prior consolidation or flag pattern added to the breakout point. If a stock consolidates in a ₹30 range (₹470–₹500) and breaks out above ₹500, the target is ₹500 + ₹30 = ₹530.
The best targets are where multiple methods converge — a resistance level that also aligns with a Fibonacci extension and a round number (like 22,000 or 1,000) is highly reliable. The more reasons price should pause or reverse at a level, the better your target.
Even traders who understand risk-reward theory make these mistakes in practice. Awareness is the first step to avoiding them.
You enter at ₹500 with a stop at ₹480. The stock drops to ₹483. Instead of being stopped out for a ₹17 loss, you move the stop to ₹470 "just this once." The stock falls to ₹460. Your ₹20 loss became a ₹40 loss. This is the most destructive habit in trading — it doubles your actual risk while your planned reward stays the same, destroying your ratio in real time.
Many traders say "I'll see how it goes and exit when it feels right." In practice, this means they exit too early during profitable runs (locking in ₹10 when the target was ₹40) and too late during losing runs (hoping for recovery until the loss is enormous). Define your target before you enter — no exceptions.
A trader with ₹2 lakh capital who risks ₹20,000 per trade (10%) needs only five consecutive losses to lose half their capital. Five bad trades can happen in a single week during volatile markets. The 1–2% rule exists precisely to keep you in the game through inevitable drawdowns.
You enter at ₹500 with a target of ₹540. The stock reaches ₹520 and you panic — "I should lock in my ₹20 profit." You exit. The stock goes to ₹538. Your planned 1:2 ratio became a 1:1 ratio, completely changing the profitability of your strategy over time. Let your trades breathe; they need room to reach their targets.
Averaging down means buying more of a stock as it falls — "It's cheaper now, so I'll buy more." This is not position sizing; it is risk multiplication. Every rupee you add to a losing position:
Risk-reward ratio tells you whether a trade is worth taking. Position sizing tells you how many shares or lots to buy so that your maximum loss on that trade is within your predefined risk limit. The two work together.
With 100 shares at ₹500, your total investment is ₹50,000 — but your maximum risk is only ₹2,000, which is exactly 1% of your ₹2,00,000 capital. If the trade hits your target of ₹540, you make ₹4,000 (2% gain on capital, 1:2 ratio achieved).
Start with 1% risk per trade. As you gain experience and your win rate improves, you can move to 2%. Professional traders rarely risk more than 1–2% even with years of experience. The slow, consistent approach keeps you trading for the long run — where the real money is made.
In futures and options, one Nifty lot = 75 units (post the 2024 lot size revision). If Nifty is at 22,200 and your stop is 150 points away, risk per lot = 75 × 150 = ₹11,250. With ₹5 lakh capital and 1% risk (₹5,000), you should not trade even one lot — the risk exceeds your limit. In this case, either tighten the stop (find a closer technical level) or skip the trade. Never force a trade that violates your position sizing rules.
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